IDC: The Data Explosion & Imbalance
Global Data (2027)
80–90% Unstructured Data
CAEVES provides solutions for securely transforming decades of historical enterprise data into AI-ready knowledge while modernizing infrastructure and preserving governance.
Enterprise data continues to grow, yet much of it becomes inactive - remaining difficult to access, invisible to AI, and costly to store. At the same time, organizations are looking to unlock greater value from their historical information.
CAEVES transforms decades of dark data into accessible, AI-ready enterprise knowledge, creating new opportunities while reducing the cost and complexity of managing historical data.
0%
Unstructured Data
80–90% Unstructured Data
30% of budget on cold data
90% of AI-era data is unstructured
Market opportunity
CAEVES unlocks insights from your data.
Organizations are investing in Microsoft 365 Copilot, yet much of their enterprise knowledge remains beyond Copilot's reach because it resides in historical file shares and archives. As a result, AI can only reason over the information it can access.
CAEVES extends Microsoft 365 Copilot's reasoning by making decades of inactive enterprise information accessible while preserving existing permissions and security and eliminating the need for data duplication and custom RAG infrastructure.
Enable Microsoft 365 Copilot to reason over decades of enterprise information.
Preserve your existing security model, ensuring only authorized information is surfaced to users.
Integrate with Microsoft 365 Copilot without data duplication or custom RAG infrastructure, simplifying enterprise AI adoption.
Created by Jaap van Duijvenbode
Material discrepancies were noted between the original survey and the final design report
NovaStruct_Engineeri….
NovaStruct Project 001 audit summary generated from the CAEVES archive for IT compliance review.
Engineering project information for NovaStruct Project 001 — structural and civil scope with permission-aware indexing.
12 permission-aware roles identified across engineering, compliance, and project management teams.
Design objectives, construction phasing, and risk assessments align with archived milestone documentation.
Key risks and mitigation controls identified:
All engineering criteria, stakeholder ownership, and budget controls are consistent across project phases.
AI-generated content may be incorrect.
Version: 1.0
Generated: 2023-11-03 10:51:43Z
Author: CAEVES Synthetic Generator
Project 001 delivers a modular structural framework for the NovaStruct campus expansion. The design prioritises load-bearing efficiency, phased construction, and compliance with EU structural codes.
All structural elements conform to EN 1990/1991 load combinations. Seismic category II applies per site geotechnical survey. Design life: 50 years.
Phase 1: Foundation & core (Q1–Q2). Phase 2: Module installation (Q3). Phase 3: Envelope & commissioning (Q4).
Grounded
Cited
Permission-aware
Historical enterprise data often resides on aging file servers, NAS systems, and legacy archive platforms that are expensive to maintain and difficult to scale. CAEVES modernizes the infrastructure supporting this data by leveraging cost-optimized object storage while preserving file access, permissions, and governance - keeping decades of enterprise knowledge accessible for users, applications, and AI.
Maintain seamless access to decades of enterprise knowledge without changing how users and applications work.
Replace and consolidate aging storage and archive infrastructure with scalable, cost-optimized object storage while preserving seamless access to enterprise knowledge.
Reclaim primary storage capacity and reduce the cost of managing inactive enterprise data while preserving accessibility and governance.
As enterprise data ages, becomes inactive, and turns into dark data, it becomes increasingly difficult to govern, protect, and recover, despite the hidden business value it holds. CAEVES safeguards decades of enterprise knowledge through immutable protection, policy-based governance, and permission-aware access, ensuring historical information remains secure, compliant, and accessible whenever it is needed.
Protect decades of historical enterprise knowledge through immutability and snapshots while maintaining permission-aware access and complying with the organization’s governance policies.
Maintain visibility, retention, and compliance across historical enterprise data from a single governed namespace.
Safeguard inactive enterprise knowledge by creating a trusted recovery surface through immutability and snapshot protection, strengthening long-term cyber resilience.
Every industry accumulates decades of enterprise knowledge. As that knowledge becomes inactive and turns into dark data, organizations lose visibility, spend valuable time searching for information, and struggle to realize the full potential of AI. The result is lost productivity, higher costs, and missed opportunities. CAEVES helps organizations unlock the hidden knowledge within historical enterprise data, making it accessible, searchable, and AI-ready.
Decades of CAD models, drawings, surveys, site photography, and project correspondence contain valuable enterprise knowledge long after a project is completed.
CAEVES transforms this historical information into accessible, searchable, and AI-ready knowledge while reducing the cost of managing inactive project data.
Example outcome: During a warranty dispute, engineering teams can instantly locate the original survey data, drawings, and contractor correspondence using Microsoft 365 Copilot.
Copilot prompt: "Provide me the original survey data and contractor correspondence from the HYDRIX project, we've got a warranty dispute landing on us."
Product data, test results, supplier documentation, and as-built records contain valuable enterprise knowledge that continues to support quality assurance, regulatory compliance, warranty claims, and future product development long after production ends.
CAEVES brings this historical information into a single governed namespace, transforming it into accessible, searchable, and AI-ready enterprise knowledge while reducing the cost of managing inactive manufacturing data.
Example outcome: Quality, manufacturing, and engineering teams can instantly locate historical production records, supplier documentation, and quality inspection reports from a single governed namespace to resolve product issues faster, support compliance, and accelerate root cause investigations.
Copilot prompt: "Show me every quality inspection report against batch 31-C from the first half of 2020, something doesn't add up."
Seismic surveys, geological models, well logs, drilling reports, production data, and technical documentation contain decades of enterprise knowledge that continues to support exploration, production, regulatory compliance, and future field development.
CAEVES leverages durable object storage to manage petabyte-scale historical archives with regional data residency, transforming this historical information into accessible, searchable, and AI-ready enterprise knowledge while reducing the cost of managing inactive technical data.
Example outcome: Geologists, geophysicists, and reservoir engineers can instantly locate historical seismic surveys, drilling reports, well logs, and production records to improve exploration decisions, accelerate field development, and maximize the value of existing subsurface knowledge.
Copilot prompt: "Bring up the seismic survey data for the ArdentWorks project, raw files included, include all metadata information."
Audit workpapers, engagement files, financial records, and client documentation contain valuable enterprise knowledge that organizations must retain to satisfy statutory and regulatory requirements while keeping it readily accessible for future audits, client engagements, and business decisions.
CAEVES preserves this historical information within your own tenant under your organization's compliance controls, transforming it into accessible, searchable, and AI-ready enterprise knowledge while reducing the cost of managing inactive financial data.
Example outcome: Audit, advisory, and finance teams can instantly locate historical engagement files, audit workpapers, financial records, and client documentation to accelerate audits, support regulatory requests, and deliver faster, more informed client service.
Copilot prompt: "Find everything we have on Civionics, audit workpapers and engagement files going back seven years."
Matter files, contracts, legal opinions, correspondence, and discovery documents contain valuable enterprise knowledge that continues to support future cases, client engagements, and legal research long after a matter is closed.
CAEVES preserves this historical information with item-level access control, immutable protection, and secure searchability, transforming it into accessible, searchable, and AI-ready enterprise knowledge while reducing the cost of managing inactive legal data.
Example outcome: Attorneys and legal professionals can instantly locate historical matter files, contracts, legal opinions, and supporting documents while preserving client confidentiality and evidentiary integrity, enabling faster legal research, stronger case preparation, and more informed client advice.
Copilot prompt: "Show me everything filed under the AxisPoint estate matter between 2018 and 2022, grouped by document type."
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